Short-term future of automated driving can be imagined as a hybrid scenario in which both
automated and human-driven vehicles co-exist in the same environment. In order to address …

Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

To ensure safety and functional correctness of automated and autonomous driving systems,
virtual scenario-based testing is used. Experts derive traffic scenario types and generate …

Emerging self-driving vehicles are now capable of sensing the environment and performing
autonomous operations, paving the way to a more efficient, safer, and greener transportation …

Autonomous driving is a challenging problem because the autonomous vehicle must
understand complex and dynamic environment. This understanding consists of predicting …

Research in the areas related to driving behavior, eg, behavior modeling and prediction,
requires datasets with highly interactive vehicle motions. Existing public vehicle motion …

With the consideration of personalized driving for automated vehicles (AVs), this paper
presents a human-like decision making framework for AVs. In the modelling process, the …

Recent advances in autonomous driving have shown the importance of endowing self-
driving cars with the ability of predicting the intentions and future trajectories of other traffic …

Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …

This work studies the problem of predicting the sequence of future actions for surrounding
vehicles in real-world driving scenarios. To this aim, we make three main contributions. The …